The Methodology of Knowledge Acquisition and Modeling for Troubleshooting in Automotive Braking System

Abstract

This study introduces a methodology of knowledge acquisition and modeling for troubleshooting in automotive braking system. It is essential for constructing a knowledge base that can be maintained and shared. A knowledge base should not merely be a set of rules, but a framework of troubleshooting that can be controlled and customized by rules. For the construction of a knowledge base, identifying the types of knowledge components to be included is a prerequisite. To identify the knowledge components, this study employs a modeling methodology consisting of three sub-models: instance model, functional model and dynamic model. In addition, mechanisms for maintaining dependency relations of the troubleshooting descriptions at different locations and reasoning using the knowledge at different locations are also developed. The system is implemented using an object-oriented programming language. The proposed methodology is applied to the troubleshooting in automotive braking system.